Electric Vehicle Route Planning Using Actual Travel History Data
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Solution Overview
Problem
Conventional techniques for predicting power consumption while driving an electric vehicle fail to provide accurate information when actual vehicle performance differs from theoretical performance, leading to incorrect charging facility location recommendations.
Innovation Solution
An information provision system that acquires and refers to actual traveling history data from in-vehicle devices to determine power consumption and charging locations along a route, matching the information to the actual environment, using a system comprising an in-vehicle device, a terminal device, and an information provision device that exchanges data via communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If power consumption is predicted based on theoretical vehicle performance, then calculation is simple, but prediction accuracy deteriorates when actual performance differs from theoretical performance
Solution Approach 1:
The system collects actual power consumption data from multiple vehicles during similar traveling routes and uses this feedback information to correct and improve power consumption predictions. The accumulated traveling history data serves as feedback to refine the accuracy of predictions without requiring complex real-time measurements.
Solution Approach 2:
The system performs preliminary data collection and accumulation of traveling history information from multiple vehicles before making predictions. By pre-collecting and storing power consumption data under various conditions, the system prepares accurate reference data in advance, enabling more accurate predictions when needed without complex real-time calculations.
2Measurement precision
If actual traveling history data from multiple vehicles is collected and analyzed, then power consumption prediction accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The system uses a centralized server that handles multiple functions: collecting data from numerous vehicles, storing traveling history information, analyzing power consumption patterns, and providing predictions to multiple users. This multi-functional approach consolidates complexity into a single system that serves many vehicles simultaneously.
Solution Approach 2:
The system creates virtual models of traveling routes by accumulating and storing traveling history data from multiple vehicles. These digital copies of actual travel data serve as reference models for prediction, allowing the system to analyze complex patterns without requiring complex real-time processing for each individual vehicle.
3Ease of operation
If charging facility locations are recommended based on inaccurate power consumption predictions, then charging guidance is provided, but reliability of charging recommendations deteriorates
Solution Approach 1:
The system uses actual power consumption data from multiple vehicles as feedback to continuously improve the accuracy of charging recommendations. By comparing predicted versus actual power consumption across many vehicles, the system refines its predictions and provides more reliable charging facility recommendations over time.
Solution Approach 2:
The system performs preliminary analysis of power consumption patterns using accumulated traveling history data before providing charging recommendations. By pre-calculating power consumption for specific routes based on real vehicle data, the system ensures that charging recommendations are based on accurate, pre-validated information rather than rough theoretical estimates.
Data Source
AI summary
An information processing device includes an input configured to input a starting position, a destination and searching conditions, and processing circuitry configured to transmit the starting position, the destination and the searching conditions, acquire a route and a charging station for a vehicle propelled by a motor and a battery which are generated from travelling history information acquired from plurality of vehicles according to the starting position, the destination and the searching conditions, and information on the searching conditions, and perform control to display the acquired route and the charging station together with the information on searching condition on a screen.